About The Position

Build the execution infrastructure for AI agents as part of a mission to create proactive, intuitive, intelligent, and low-cost AI phones and applications. The company aims to bring intelligence into everyday conversations, coordination, and workflows with minimal prompting. This role focuses on implementing the runtime and orchestration components that enable agents to execute tasks reliably.

Requirements

  • Strong backend engineering experience.
  • Experience with distributed systems and asynchronous workflows.
  • Experience integrating LLMs into production applications.
  • Strong API and service architecture knowledge.
  • Experience with queues, state management, and observability.
  • Good understanding of tool calling and structured outputs.

Nice To Haves

  • Production agent framework or custom agent runtime experience.
  • Experience with Temporal or similar workflow orchestration systems.
  • Experience with model routing and inference optimization.
  • Experience with AI evaluation and tracing.

Responsibilities

  • Implement agent runtime and orchestration components.
  • Build tool-calling and execution interfaces.
  • Support multi-step and long-running task execution.
  • Manage task state, execution history, and asynchronous workflows.
  • Implement error handling, retries, and recovery mechanisms.
  • Integrate multiple model providers.
  • Build observability and tracing for agent execution.
  • Optimize latency, reliability, and inference costs.
  • Work with context and memory components to provide relevant information to agents.
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